Reporting on Early detection of pancreatic cancer project

The bursary enabled me to get my first results in the project, which I presented in the Early Detection of Cancer Conference in Portland, Oregon, USA in October 2022. The poster I presented was titled “The influence of CT contrast phase in early detection of pancreatic cancer when using radiomic features and machine learning”. In this part of the larger research project, we wanted to see whether the phase of contrast in computed tomography (CT) images makes a difference to the texture analysis of the pancreas. We found that the presence of contrast does make a difference but there is not much difference in the arterial and portal venous phases of the scan. In other words, if the pancreas has some contrast in it, there will be not much difference in the texture analysis features extracted from the pancreas. The work was done using retrospectively collected data from UHCW. We are planning to use publicly available data from The Cancer Imaging Archive to verify these results. We are planning to publish the results from this work in a peer-reviewed journal.

The bursary also enabled me to build national collaborations with multiple centres.

POSTER: “The influence of CT contrast phase in early detection of pancreatic cancer when using radiomic features and machine learning”:

https://www.medicallifesciences.org.uk/ckfiles/POSTER-EDCC-Oct2022.pdf